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Optimum Network of Battery Storage to Support Electric Vehicle Charging Infrastructure in Smart Cities

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Item Summary Zhao, Dong Thakur, Navwant Chen, Jiayu 2019-01-02T23:58:53Z 2019-01-02T23:58:53Z 2019-01-08
dc.identifier.isbn 978-0-9981331-2-6
dc.description.abstract Smart mobility and transportation is a critical component of smart cities. One barrier to the smart transportation is a lack of charging stations that can empower a huge amount of electric vehicles, especially the autonomous one. Battery storage technology provides an opportunity; however, how battery storage can serve a crucial role in enabling fast-charging stations to fulfill customer demand and providing a profit for charging station operators is unclear. This paper reports a discrete event simulation (DES) model to determine the optimum network of battery storage system considering costs and charging stations. A case study of Detroit Area in the State of Michigan is provided to demonstrate the usage of the model. Results show that lithium-ion batteries cost the most whereas zinc-air batteries cost the least. Findings suggest that a highly condensed charging station network provide higher benefit and result in lower total cost through battery units connected to a microgrid.
dc.format.extent 8 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Smart City Digital Twins
dc.subject Decision Analytics, Mobile Services, and Service Science
dc.subject Battery storage
dc.subject Charging station
dc.subject Construction management
dc.subject Infrastructure
dc.subject Simulation
dc.title Optimum Network of Battery Storage to Support Electric Vehicle Charging Infrastructure in Smart Cities
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2019.237
Appears in Collections: Smart City Digital Twins

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